Smart physical models
- Combines both hydraulic and thermodynamic models
- Defines time lags and heat propagation
- Fills in the blanks with AI, based on available sensor data
Start saving energy and
reduce emissions with Gradyent
There is an increased pressure on both cost efficiency and emission reduction. Therefore, heating systems are trying to reduce temperatures while adding more sustainable heat sources. This results in highly complex heating systems.
Vision of modern networks
In the meantime, many district energy systems have old or even outdated control systems due to legacy in hard & software with limited or no dynamic optimization.
Current Control Systems
Modern Control Systems
The Gradyent Digital Twin is District Heating Software that is specially designed for heating systems. In this case, a digital twin is a virtual simulation of a physical heating system. This allows for multiple simulation scenarios and analytics and therefore results in the most optimal settings for the heating system, any time all the time.
Transform your heating system with the power of the Gradyent Digital Twin
Our platform creates value for the following application areas.
Reduce heat losses, enable low temp heat sources
Reduce pump costs & resolve pressure issues
Best possible deployment of heat sources & buffers
Put smart meter data to work
Benefit from network storage, optimize demand
A common issue for District Heating systems is that heat losses are too high. This is driven by too high temperatures in the system. Additionally, we often see that it is difficult to oversee the critical constraint of the system. By simulating the grid and advanced granular demand forecasts, new insights (e.g. forward temperatures) can be found while typical constraints (e.g. minimal temperature at consumers) are always met.
In some cases, the hydraulics of the system are considered a given. Although sometimes unpredictable, pressure issues at lower temperatures occur, or unreliable pump operation results in trips. Using our holistic and dynamic modelling approach, new opportunities arise by improving both pressure and flows, leading to energy savings.
To support multiple heat sources (e.g. Geothermal) in the system and operating on lower temperatures implies questions about which heat source needs to be utilized first, second, etc. (the so-called merit order). What will become the ‘stand-still’ points then? And how does that function in times of high electricity pricing? These are complex matters but with great emissions and financial gains.
Driven by EU regulations, most of the District Heating operators have plans to invest or are already investing in smart meters. Most of the asset owners see these investments as high, mandatory, and only useful for improved invoicing processes. We also see the opportunity of using the data to granularly train the Digital Twin to an even higher extend (without compromising GDPR regulations, of course).
Peaks in the network are important drivers for the system design and therefore the costs. Currently, some operators are making complex agreements with large customers for peak shifting. With our dynamic and holistic grid approach, we can capitalize on the potential network storage to some extent without the complex agreements.
Approximately 50% of all energy consumption in the world is used for heating and cooling. District heating systems are a large portion of this. At Gradyent, we have the ambition to assist District Heating companies in applying new technologies as our Digital Twin to strongly reduce energy consumption. For our planet, more than 10% reduction of heat losses, results in the following.
More than 2.5 million tons CO2 emissions prevented annually
More than 1 billion m³ natural gas saved annually
Sector profitability up by more than 3B€ with many networks co-owned by the public
45-70 PJ (petajoule) lower heat losses
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